Price Optimisation Data Scientist...

Job Description

Job Title
Predictive Price Modelling DS

Logistics

• Contract length: 6 months
  
  
• Day rate: £500-£550 (Outside IR35)
  
  
• Location: Hybrid-2 days/week in London office
  
  Client Context
  Work with top-tier retailers and e-commerce brands that demand scientifically rigorous pricing strategies. Your models will directly inform multi-million-pound margin and revenue decisions.
  
  Role Overview
  As a Price Modelling Specialist, you'll lead the design, development and deployment of predictive pricing and elasticity models. You'll translate data into dynamic pricing rules that maximise revenue, test their impact in-market, and package insights for commercial leaders.
  
  Key Responsibilities
  
  
• Develop and maintain price-elasticity, demand-forecasting and revenue-optimisation models in Python
  
  
• Design, execute and analyse A/B tests and quasi-experimental frameworks to validate pricing strategies
  
  
• Build automated pipelines to refresh price recommendations in near real-time
  
  
• Integrate model outputs into BI dashboards and reporting workflows
  
  
• Present clear, actionable pricing insights to commercial and executive stakeholders
  
  Must-Haves
  
  
• Master's in Statistics, Econometrics, Data Science or related quantitative field
  
  
• Expert in Python (pandas, scikit-learn) and advanced SQL for large-scale data manipulation
  
  
• Proven track record running A/B tests or causal analyses on pricing levers
  
  
• Excellent communication-able to explain complex models to non-technical audiences
  
  
• Full UK work authorisation
  
  Desirable
  
  
• Familiarity with production ML workflows (version control, CI/CD)
  
  
• Background in retail or e-commerce pricing platforms
  
  Technical Toolbox
  
  
• Modelling & data: Python, SQL
  
  
• Experimentation: A/B testing frameworks
  
  
• Containerisation: Docker
  
  
• BI & warehousing: Snowflake (or equivalent), Tableau/Power BI
  
  
• Cloud: AWS, GCP or Azure
  
  Desired Skills and Experience
  
  3+ years developing price-elasticity and demand-forecasting models in Python
  
  Designing and analysing A/B tests and quasi-experiments to validate pricing strategies
  
  Building automated pipelines for real-time price recommendation updates
  
  Integrating model outputs into Tableau or Power BI dashboards
  
  Communicating complex pricing insights to commercial and executive stakeholders
  
  Working with Docker and cloud platforms (AWS, GCP or Azure) for scalable deployments